{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"prophet.ipynb","provenance":[],"authorship_tag":"ABX9TyOP6Ase3CYDYzntg26MRmmY"},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"cell_type":"markdown","metadata":{"id":"OkJWRkNQv5FE"},"source":["##prophet"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"8PHMZgeneYHG","executionInfo":{"status":"ok","timestamp":1608779911789,"user_tz":-60,"elapsed":7178,"user":{"displayName":"Michelangiolo Mazzeschi","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Ghg8l8QeAQA6fd1iPVc2f_F0XQpum7zRjrF4R7HRw=s64","userId":"15738155355555420240"}},"outputId":"94305aeb-f099-4206-aef8-c44724a0292d"},"source":["#bash\r\n","#Install pystan with pip before using pip to install fbprophet\r\n","!pip install pystan\r\n","!pip install fbprophet"],"execution_count":1,"outputs":[{"output_type":"stream","text":["Requirement already satisfied: pystan in /usr/local/lib/python3.6/dist-packages (2.19.1.1)\n","Requirement already satisfied: numpy>=1.7 in /usr/local/lib/python3.6/dist-packages (from pystan) (1.19.4)\n","Requirement already satisfied: Cython!=0.25.1,>=0.22 in /usr/local/lib/python3.6/dist-packages (from pystan) (0.29.21)\n","Requirement already satisfied: fbprophet in /usr/local/lib/python3.6/dist-packages (0.7.1)\n","Requirement already satisfied: Cython>=0.22 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (0.29.21)\n","Requirement already satisfied: cmdstanpy==0.9.5 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (0.9.5)\n","Requirement already satisfied: pystan>=2.14 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (2.19.1.1)\n","Requirement already satisfied: numpy>=1.15.4 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (1.19.4)\n","Requirement already satisfied: pandas>=1.0.4 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (1.1.5)\n","Requirement already satisfied: matplotlib>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (3.2.2)\n","Requirement already satisfied: LunarCalendar>=0.0.9 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (0.0.9)\n","Requirement already satisfied: convertdate>=2.1.2 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (2.2.0)\n","Requirement already satisfied: holidays>=0.10.2 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (0.10.4)\n","Requirement already satisfied: setuptools-git>=1.2 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (1.2)\n","Requirement already satisfied: python-dateutil>=2.8.0 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (2.8.1)\n","Requirement already satisfied: tqdm>=4.36.1 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (4.41.1)\n","Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.6/dist-packages (from pandas>=1.0.4->fbprophet) (2018.9)\n","Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=2.0.0->fbprophet) (1.3.1)\n","Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=2.0.0->fbprophet) (0.10.0)\n","Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=2.0.0->fbprophet) (2.4.7)\n","Requirement already satisfied: ephem>=3.7.5.3 in /usr/local/lib/python3.6/dist-packages (from LunarCalendar>=0.0.9->fbprophet) (3.7.7.1)\n","Requirement already satisfied: pymeeus<=1,>=0.3.6 in /usr/local/lib/python3.6/dist-packages (from convertdate>=2.1.2->fbprophet) (0.3.7)\n","Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from holidays>=0.10.2->fbprophet) (1.15.0)\n","Requirement already satisfied: korean-lunar-calendar in /usr/local/lib/python3.6/dist-packages (from holidays>=0.10.2->fbprophet) (0.2.1)\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":142},"id":"FCm2d6Anevbh","executionInfo":{"status":"ok","timestamp":1608742198246,"user_tz":-60,"elapsed":600,"user":{"displayName":"Michelangiolo Mazzeschi","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Ghg8l8QeAQA6fd1iPVc2f_F0XQpum7zRjrF4R7HRw=s64","userId":"15738155355555420240"}},"outputId":"d322b5a8-8260-4e77-fb82-225cf9d4d9fd"},"source":["#Python\r\n","import pandas as pd\r\n","from fbprophet import Prophet\r\n","\r\n","# Python\r\n","df = pd.DataFrame([['2019-01-01', '2019-01-02', '2019-01-03'], [100, 102, 104]]).transpose()\r\n","df.columns = ['ds', 'y']\r\n","df"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>ds</th>\n","      <th>y</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2019-01-01</td>\n","      <td>100</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2019-01-02</td>\n","      <td>102</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2019-01-03</td>\n","      <td>104</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["           ds    y\n","0  2019-01-01  100\n","1  2019-01-02  102\n","2  2019-01-03  104"]},"metadata":{"tags":[]},"execution_count":14}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"6eTvxmFhf2PL","executionInfo":{"status":"ok","timestamp":1608742199592,"user_tz":-60,"elapsed":823,"user":{"displayName":"Michelangiolo Mazzeschi","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Ghg8l8QeAQA6fd1iPVc2f_F0XQpum7zRjrF4R7HRw=s64","userId":"15738155355555420240"}},"outputId":"94a25d3f-6fa0-48ef-c62b-18efa5bc4ece"},"source":["#Python\r\n","m = Prophet()\r\n","m.fit(df)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["INFO:numexpr.utils:NumExpr defaulting to 2 threads.\n","INFO:fbprophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:fbprophet:Disabling weekly seasonality. Run prophet with weekly_seasonality=True to override this.\n","INFO:fbprophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:fbprophet:n_changepoints greater than number of observations. Using 1.\n"],"name":"stderr"},{"output_type":"execute_result","data":{"text/plain":["<fbprophet.forecaster.Prophet at 0x7f8405898a58>"]},"metadata":{"tags":[]},"execution_count":15}]},{"cell_type":"code","metadata":{"id":"ekPg22T_gh_8"},"source":["#Python\r\n","future = m.make_future_dataframe(periods=5)\r\n","future"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"axTdjODXjKRB","colab":{"base_uri":"https://localhost:8080/","height":297},"executionInfo":{"status":"ok","timestamp":1608742907186,"user_tz":-60,"elapsed":603,"user":{"displayName":"Michelangiolo Mazzeschi","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Ghg8l8QeAQA6fd1iPVc2f_F0XQpum7zRjrF4R7HRw=s64","userId":"15738155355555420240"}},"outputId":"167d0e15-069b-4c8c-d28f-a0556f5e3aa1"},"source":["forecast"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>ds</th>\n","      <th>trend</th>\n","      <th>yhat_lower</th>\n","      <th>yhat_upper</th>\n","      <th>trend_lower</th>\n","      <th>trend_upper</th>\n","      <th>additive_terms</th>\n","      <th>additive_terms_lower</th>\n","      <th>additive_terms_upper</th>\n","      <th>multiplicative_terms</th>\n","      <th>multiplicative_terms_lower</th>\n","      <th>multiplicative_terms_upper</th>\n","      <th>yhat</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2019-01-01</td>\n","      <td>100.0</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>100.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2019-01-02</td>\n","      <td>102.0</td>\n","      <td>102.000000</td>\n","      <td>102.000000</td>\n","      <td>102.000000</td>\n","      <td>102.000000</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>102.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2019-01-03</td>\n","      <td>104.0</td>\n","      <td>104.000000</td>\n","      <td>104.000000</td>\n","      <td>104.000000</td>\n","      <td>104.000000</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>104.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2019-01-04</td>\n","      <td>106.0</td>\n","      <td>106.000000</td>\n","      <td>106.000000</td>\n","      <td>106.000000</td>\n","      <td>106.000000</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>106.0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2019-01-05</td>\n","      <td>108.0</td>\n","      <td>107.999999</td>\n","      <td>108.000001</td>\n","      <td>107.999999</td>\n","      <td>108.000001</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>108.0</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>2019-01-06</td>\n","      <td>110.0</td>\n","      <td>109.999998</td>\n","      <td>110.000002</td>\n","      <td>109.999998</td>\n","      <td>110.000002</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>110.0</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>2019-01-07</td>\n","      <td>112.0</td>\n","      <td>111.999997</td>\n","      <td>112.000003</td>\n","      <td>111.999997</td>\n","      <td>112.000003</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>112.0</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>2019-01-08</td>\n","      <td>114.0</td>\n","      <td>113.999996</td>\n","      <td>114.000003</td>\n","      <td>113.999996</td>\n","      <td>114.000003</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>114.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["          ds  trend  ...  multiplicative_terms_upper   yhat\n","0 2019-01-01  100.0  ...                         0.0  100.0\n","1 2019-01-02  102.0  ...                         0.0  102.0\n","2 2019-01-03  104.0  ...                         0.0  104.0\n","3 2019-01-04  106.0  ...                         0.0  106.0\n","4 2019-01-05  108.0  ...                         0.0  108.0\n","5 2019-01-06  110.0  ...                         0.0  110.0\n","6 2019-01-07  112.0  ...                         0.0  112.0\n","7 2019-01-08  114.0  ...                         0.0  114.0\n","\n","[8 rows x 13 columns]"]},"metadata":{"tags":[]},"execution_count":23}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":204},"id":"0COGcc62gh7K","executionInfo":{"status":"ok","timestamp":1608742464163,"user_tz":-60,"elapsed":2132,"user":{"displayName":"Michelangiolo Mazzeschi","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Ghg8l8QeAQA6fd1iPVc2f_F0XQpum7zRjrF4R7HRw=s64","userId":"15738155355555420240"}},"outputId":"af3ae4b9-4e36-4ca3-9396-d713cad401aa"},"source":["#Python\r\n","forecast = m.predict(future)\r\n","forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']].tail()"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>ds</th>\n","      <th>yhat</th>\n","      <th>yhat_lower</th>\n","      <th>yhat_upper</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>3</th>\n","      <td>2019-01-04</td>\n","      <td>106.0</td>\n","      <td>106.000000</td>\n","      <td>106.000000</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2019-01-05</td>\n","      <td>108.0</td>\n","      <td>107.999999</td>\n","      <td>108.000001</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>2019-01-06</td>\n","      <td>110.0</td>\n","      <td>109.999998</td>\n","      <td>110.000002</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>2019-01-07</td>\n","      <td>112.0</td>\n","      <td>111.999997</td>\n","      <td>112.000003</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>2019-01-08</td>\n","      <td>114.0</td>\n","      <td>113.999996</td>\n","      <td>114.000003</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["          ds   yhat  yhat_lower  yhat_upper\n","3 2019-01-04  106.0  106.000000  106.000000\n","4 2019-01-05  108.0  107.999999  108.000001\n","5 2019-01-06  110.0  109.999998  110.000002\n","6 2019-01-07  112.0  111.999997  112.000003\n","7 2019-01-08  114.0  113.999996  114.000003"]},"metadata":{"tags":[]},"execution_count":21}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":441},"id":"J9hjELZ6houW","executionInfo":{"status":"ok","timestamp":1608742509351,"user_tz":-60,"elapsed":1131,"user":{"displayName":"Michelangiolo Mazzeschi","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Ghg8l8QeAQA6fd1iPVc2f_F0XQpum7zRjrF4R7HRw=s64","userId":"15738155355555420240"}},"outputId":"790143d7-13a5-410c-d743-6b2b800a6fd8"},"source":["# Python\r\n","fig1 = m.plot(forecast)"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 720x432 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"K4JQ8qGgv7tP"},"source":["##cryptos"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":419},"id":"RnBNC276yNoI","executionInfo":{"status":"ok","timestamp":1608780414998,"user_tz":-60,"elapsed":730,"user":{"displayName":"Michelangiolo Mazzeschi","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Ghg8l8QeAQA6fd1iPVc2f_F0XQpum7zRjrF4R7HRw=s64","userId":"15738155355555420240"}},"outputId":"1546fe99-c5fe-4de0-b8c0-9d4aee1ddc77"},"source":[""],"execution_count":12,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Date</th>\n","      <th>Open</th>\n","      <th>High</th>\n","      <th>Low</th>\n","      <th>Close</th>\n","      <th>Adj Close</th>\n","      <th>Volume</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2017-12-23</td>\n","      <td>13948.700195</td>\n","      <td>15603.200195</td>\n","      <td>13828.799805</td>\n","      <td>14699.200195</td>\n","      <td>14699.200195</td>\n","      <td>13086000128</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2017-12-24</td>\n","      <td>14608.200195</td>\n","      <td>14626.000000</td>\n","      <td>12747.700195</td>\n","      <td>13925.799805</td>\n","      <td>13925.799805</td>\n","      <td>11572299776</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2017-12-25</td>\n","      <td>13995.900391</td>\n","      <td>14593.000000</td>\n","      <td>13448.900391</td>\n","      <td>14026.599609</td>\n","      <td>14026.599609</td>\n","      <td>10664699904</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2017-12-26</td>\n","      <td>14036.599609</td>\n","      <td>16461.199219</td>\n","      <td>14028.900391</td>\n","      <td>16099.799805</td>\n","      <td>16099.799805</td>\n","      <td>13454300160</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2017-12-27</td>\n","      <td>16163.500000</td>\n","      <td>16930.900391</td>\n","      <td>15114.299805</td>\n","      <td>15838.500000</td>\n","      <td>15838.500000</td>\n","      <td>12487600128</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>1093</th>\n","      <td>2020-12-20</td>\n","      <td>23861.765625</td>\n","      <td>24209.660156</td>\n","      <td>23147.710938</td>\n","      <td>23477.294922</td>\n","      <td>23477.294922</td>\n","      <td>37844228422</td>\n","    </tr>\n","    <tr>\n","      <th>1094</th>\n","      <td>2020-12-21</td>\n","      <td>23474.455078</td>\n","      <td>24059.982422</td>\n","      <td>22159.367188</td>\n","      <td>22803.082031</td>\n","      <td>22803.082031</td>\n","      <td>45852713981</td>\n","    </tr>\n","    <tr>\n","      <th>1095</th>\n","      <td>2020-12-22</td>\n","      <td>22794.039063</td>\n","      <td>23789.902344</td>\n","      <td>22430.605469</td>\n","      <td>23783.029297</td>\n","      <td>23783.029297</td>\n","      <td>44171632681</td>\n","    </tr>\n","    <tr>\n","      <th>1096</th>\n","      <td>2020-12-23</td>\n","      <td>23781.974609</td>\n","      <td>24024.490234</td>\n","      <td>22802.646484</td>\n","      <td>23241.345703</td>\n","      <td>23241.345703</td>\n","      <td>51146161904</td>\n","    </tr>\n","    <tr>\n","      <th>1097</th>\n","      <td>2020-12-24</td>\n","      <td>22832.791016</td>\n","      <td>23212.548828</td>\n","      <td>22820.304688</td>\n","      <td>22838.421875</td>\n","      <td>22838.421875</td>\n","      <td>52820291584</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>1098 rows × 7 columns</p>\n","</div>"],"text/plain":["            Date          Open  ...     Adj Close       Volume\n","0     2017-12-23  13948.700195  ...  14699.200195  13086000128\n","1     2017-12-24  14608.200195  ...  13925.799805  11572299776\n","2     2017-12-25  13995.900391  ...  14026.599609  10664699904\n","3     2017-12-26  14036.599609  ...  16099.799805  13454300160\n","4     2017-12-27  16163.500000  ...  15838.500000  12487600128\n","...          ...           ...  ...           ...          ...\n","1093  2020-12-20  23861.765625  ...  23477.294922  37844228422\n","1094  2020-12-21  23474.455078  ...  22803.082031  45852713981\n","1095  2020-12-22  22794.039063  ...  23783.029297  44171632681\n","1096  2020-12-23  23781.974609  ...  23241.345703  51146161904\n","1097  2020-12-24  22832.791016  ...  22838.421875  52820291584\n","\n","[1098 rows x 7 columns]"]},"metadata":{"tags":[]},"execution_count":12}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":419},"id":"x82BaSOswC_q","executionInfo":{"status":"ok","timestamp":1608780530488,"user_tz":-60,"elapsed":921,"user":{"displayName":"Michelangiolo Mazzeschi","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Ghg8l8QeAQA6fd1iPVc2f_F0XQpum7zRjrF4R7HRw=s64","userId":"15738155355555420240"}},"outputId":"bda474cc-2bfb-4f07-945a-d7abb2f4b4ce"},"source":["#Python\r\n","import pandas as pd\r\n","from fbprophet import Prophet\r\n","\r\n","# Python\r\n","df = pd.read_csv('BTC-USD.csv')\r\n","df = df[['Date', 'Close']]\r\n","df.columns = ['ds', 'y']\r\n","df"],"execution_count":17,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>ds</th>\n","      <th>y</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2015-12-24</td>\n","      <td>454.984985</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2015-12-25</td>\n","      <td>455.653015</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2015-12-26</td>\n","      <td>417.273987</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2015-12-27</td>\n","      <td>422.822998</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2015-12-28</td>\n","      <td>422.278992</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>1823</th>\n","      <td>2020-12-20</td>\n","      <td>23477.294922</td>\n","    </tr>\n","    <tr>\n","      <th>1824</th>\n","      <td>2020-12-21</td>\n","      <td>22803.082031</td>\n","    </tr>\n","    <tr>\n","      <th>1825</th>\n","      <td>2020-12-22</td>\n","      <td>23783.029297</td>\n","    </tr>\n","    <tr>\n","      <th>1826</th>\n","      <td>2020-12-23</td>\n","      <td>23241.345703</td>\n","    </tr>\n","    <tr>\n","      <th>1827</th>\n","      <td>2020-12-24</td>\n","      <td>22845.529297</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>1828 rows × 2 columns</p>\n","</div>"],"text/plain":["              ds             y\n","0     2015-12-24    454.984985\n","1     2015-12-25    455.653015\n","2     2015-12-26    417.273987\n","3     2015-12-27    422.822998\n","4     2015-12-28    422.278992\n","...          ...           ...\n","1823  2020-12-20  23477.294922\n","1824  2020-12-21  22803.082031\n","1825  2020-12-22  23783.029297\n","1826  2020-12-23  23241.345703\n","1827  2020-12-24  22845.529297\n","\n","[1828 rows x 2 columns]"]},"metadata":{"tags":[]},"execution_count":17}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":221},"id":"Lqn9D2FVwt06","executionInfo":{"status":"ok","timestamp":1608780685407,"user_tz":-60,"elapsed":5968,"user":{"displayName":"Michelangiolo Mazzeschi","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Ghg8l8QeAQA6fd1iPVc2f_F0XQpum7zRjrF4R7HRw=s64","userId":"15738155355555420240"}},"outputId":"df6a0b74-0db0-4a75-84d3-bd73c9650871"},"source":["#Python\r\n","m = Prophet()\r\n","m.fit(df)\r\n","\r\n","#Python\r\n","future = m.make_future_dataframe(periods=365)\r\n","future\r\n","\r\n","#Python\r\n","forecast = m.predict(future)\r\n","forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']].tail()"],"execution_count":22,"outputs":[{"output_type":"stream","text":["INFO:fbprophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n"],"name":"stderr"},{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>ds</th>\n","      <th>yhat</th>\n","      <th>yhat_lower</th>\n","      <th>yhat_upper</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2188</th>\n","      <td>2021-12-20</td>\n","      <td>27102.918090</td>\n","      <td>16711.564580</td>\n","      <td>37630.669974</td>\n","    </tr>\n","    <tr>\n","      <th>2189</th>\n","      <td>2021-12-21</td>\n","      <td>27076.475408</td>\n","      <td>16303.066922</td>\n","      <td>37458.844719</td>\n","    </tr>\n","    <tr>\n","      <th>2190</th>\n","      <td>2021-12-22</td>\n","      <td>27057.892046</td>\n","      <td>16520.724562</td>\n","      <td>37582.377995</td>\n","    </tr>\n","    <tr>\n","      <th>2191</th>\n","      <td>2021-12-23</td>\n","      <td>27002.358099</td>\n","      <td>16366.657362</td>\n","      <td>37544.604645</td>\n","    </tr>\n","    <tr>\n","      <th>2192</th>\n","      <td>2021-12-24</td>\n","      <td>26950.315194</td>\n","      <td>16322.309496</td>\n","      <td>37312.492721</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["             ds          yhat    yhat_lower    yhat_upper\n","2188 2021-12-20  27102.918090  16711.564580  37630.669974\n","2189 2021-12-21  27076.475408  16303.066922  37458.844719\n","2190 2021-12-22  27057.892046  16520.724562  37582.377995\n","2191 2021-12-23  27002.358099  16366.657362  37544.604645\n","2192 2021-12-24  26950.315194  16322.309496  37312.492721"]},"metadata":{"tags":[]},"execution_count":22}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":729},"id":"88nE7Ahhw_s7","executionInfo":{"status":"ok","timestamp":1608783668157,"user_tz":-60,"elapsed":1664,"user":{"displayName":"Michelangiolo Mazzeschi","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Ghg8l8QeAQA6fd1iPVc2f_F0XQpum7zRjrF4R7HRw=s64","userId":"15738155355555420240"}},"outputId":"9ec850a8-5847-498a-9290-81b27a168050"},"source":["# Python\r\n","from fbprophet.plot import plot\r\n","\r\n","fig1 = m.plot(forecast, figsize=(20, 10))"],"execution_count":35,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1440x720 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"xr9S90Hp1cah"},"source":["##neuralprophet"]},{"cell_type":"code","metadata":{"id":"f5mjmcMW1esC"},"source":["#https://towardsdatascience.com/facebooks-prophet-deep-learning-neuralprophet-76796aed1d86"],"execution_count":null,"outputs":[]}]}